Ambassador @adaption_ai | AI Engineer | 10Pearls FYP '25. Specialist in LLMs, RAG & LangChain. Building intelligent AI automations & full-stack web apps.
Zero data used to be a hard stop.
Now we just invent the dataset.+17% quality, +19% diversity over top models, and constraints don’t slow it down. Proud @adaption_ai ambassador. This is a real leap for post-training.
The biggest hurdle in frontier AI is curating high-quality, diverse data.
What happens if you need to post-train a model for a new capability, but have zero data?
Today, we release the technical report for Invent a Dataset.
Tried Invent a Dataset last week.
The new Invent API makes it even smoother: you can build custom, AI-ready datasets in minutes with a few lines of code.
Solid upgrade from @adaption_ai .
#Engineering
Last week we introduced Invent a Dataset. Describe what you need. Hit go.
Today, we’re making it even easier with the Invent API.
A few lines of code. AI ready training datasets in minutes.
This is big.
Describe the dataset you need → get a structured, training-ready dataset back.
No existing data required.
Dataset creation just shifted from collection to pure specification.
Impressive work
@adaption_ai
🔥
Introducing Invent a Dataset.
Describe the dataset you need. Get a structured, training-ready dataset back. No existing data needed.
Dataset creation used to start with collection. Now it starts with specification.
Ready to move from simple RAG to production-grade AI agents? I'm applying for the AI Engineering Buildcamp taught by @Al_Grigor to master agentic workflows, function calling, and LLM evaluation.
check out this curriculum! Scholarship: forms.gle/nAbwpDKvHAw7cfzh8
As an Adaption Ambassador, sharing this.
AutoScientist Alignment auto-configures & self-improves RL recipes, less compute, no endless ablations.
Great work
@adaption_ai
Introducing AutoScientist Alignment.
Automatically configure and self-improve your reinforcement learning recipe using AutoScientist.
Save compute and endless ablations. Game the system and allow AutoScientist to do the work.
Now extended to RL recipes.
Just completed the Google AI Professional Certificate, 7 courses, 20+ hands-on AI artifacts, and one vibe-coded app later
Brainstorming, research, writing, content, data analysis, app building, all with AI in the loop.
Verify: coursera.org/verify/professi…#AI#BuildInPublic
This is the shift. AutoScientist lets builders own frontier intelligence without needing a full research lab. Own your models. Accelerate your R&D. Stop renting intelligence.
Cloud projects are fun until the first bill arrives...
I checked the current terms of four Microsoft resources that can make the early stages much cheaper for DS students, AI builders, and early founders.
Here's what each one actually offers 🧵
Just submitted AgriIntel-Contextual-Yield-Reasoning-v1 for AutoScientist Part 2 by @adaption_ai ! 🌾🤖
Powered by openai/gpt-oss-120b with multi-step agronomic reasoning.
📈 +175% Quality Score Boost
🎯 Grade E ➡️ Grade C
👇 Links in the comments!
#AI#AutoScientist
We don’t need 70B models for robust Python pipelines. We just need better data. 💡
I built CodeIntel-4B for the AutoScientist Challenge: an edge-deployable reasoning engine that thinks before it codes, powered by @adaption_ai .
Demo below 👇 Links in replies! #AI
Just accepted into the @EgoistMachines AI Passport Ideathon!
Excited to leverage my Python & ML background to build secure agent permission flows and a unified memory layer.
Let's win this! @erinmerylstudy@davidobot_
Enterprise data was never just text. It's documents, images, charts, all at once.
AutoScientist is now multimodal, automatically self-improving frontier AI across modalities. You walk away with a frontier model that recognizes the information you care about.
Part 2 of my AutoScientist Challenge is live!
Meet MarketIntel-Macro-Reasoning-Mistral-7B 🧠📊
📈 Financial domain win-rate: 13% ➔ 87%
📈 General win-rate: 45% ➔ 56% (Zero catastrophic forgetting!)
Built on @adaption_ai . Weights open-source! 👇
🔗huggingface.co/asadullahdoga…
The next breakthrough AI model could come from anyone.
Someone with a unique perspective. A problem worth solving. A domain that needs better intelligence.
$60,000 in prizes. Your idea could be next.
Most HR AI models predict a binary flight-risk score.
I fine-tuned CorpIntel-HR-Agent (Llama-3.2-3B) to output full reasoning + retention plans from raw telemetry.
Built for @adaption_ai AutoScientist Challenge
🤗 huggingface.co/asadullahdoga…